449 citations
- Heidelberg UniversityDE55 papers
- Technische Universität DresdenDE11 papers
- Center for Advancing Electronics DresdenDE7 papers
- Dresden Integrated Center for Applied Physics and Photonic MaterialsDE7 papers
- Centre National de la Recherche ScientifiqueFR6 papers
- Leibniz Institute for Solid State and Materials ResearchDE5 papers
- University of BernCH5 papers
- Johannes Gutenberg University MainzDE4 papers
- Karlsruhe Institute of TechnologyDE4 papers
- Centre of Excellence for Advanced MaterialsCN3 papers
- European Organization for Nuclear ResearchCH3 papers
- Fermi National Accelerator LaboratoryUS3 papers
Showing cs.NEShow all
3 papers · 1 filter
cs.NE2019★ 5 cited
Brain-Inspired Hardware for Artificial Intelligence: Accelerated Learning in a Physical-Model Spiking Neural Network
Timo C. Wunderlich, Akos F. Kungl, Eric Müller +2
Future developments in artificial intelligence will profit from the existence of novel, non-traditional substrates for brain-inspired computing. Neuromorphic computers aim to provi…
cs.NE2019★ 55 cited
Neuromorphic Hardware learns to learn
Thomas Bohnstingl, Franz Scherr, Christian Pehle +2
Hyperparameters and learning algorithms for neuromorphic hardware are usually chosen by hand. In contrast, the hyperparameters and learning algorithms of networks of neurons in the…
cs.NE2017
Spiking neurons with short-term synaptic plasticity form superior generative networks
Luziwei Leng, Roman Martel, Oliver Breitwieser +5
Spiking networks that perform probabilistic inference have been proposed both as models of cortical computation and as candidates for solving problems in machine learning. However,…